Intel invests $1 billion in the AI ecosystem to fuel adoption and product innovation


By Brian Krzanich, CEO of Intel

At Intel, we have an optimistic and pragmatic view of artificial intelligence’s (AI) impact on society, jobs, and daily life that will mimic other profound transformations – from the industrial to the PC revolution. Our belief is that AI will bring significant new opportunities to transform business – from retail to healthcare to manufacturing – and have an immensely positive impact on society.

AI will make the impossible possible: advancing research on cancer, Parkinson’s disease, and brain disorders; helping to find missing children; and furthering scientific efforts in climate change, space exploration, and oceanic research.

To drive AI innovation, Intel is making strategic investments spanning technology, R&D, and partnerships with business, government, academia and community groups. We are deeply committed to unlocking the promise of AI: conducting research on neuromorphic computing, exploring new architectures and learning paradigms. We have also invested in startups like Mighty AI, Data Robot, and Lumiata through our Intel Capital portfolio and have invested more than $1 billion in companies that are helping to advance artificial intelligence.

I believe Intel will be the AI platform of choice, offering unmatched reliability, performance, security, and integration. We are 100 percent committed to creating the roadmap of optimized products to support emerging mainstream AI workloads.

AI solutions require a wide range of power and performance to meet application needs, and Intel has the largest selection of options for our customers to choose from. To support the sheer breadth of future AI workloads, businesses will need unmatched flexibility and infrastructure optimization so that both highly specialized and general purpose AI functions can run alongside other critical business workloads. The Intel® Nervana™ AI portfolio delivers this breadth:

  • Intel® Xeon® Scalable family – providing highly scalable processors for evolving AI workloads and our purpose-built silicon for the most intensive deep learning training, code-named “Lake Crest”
  • Intel® Mobileye – vision technologies for specialized use cases such as active safety and autonomous driving
  • Intel FPGAs – programmable accelerators for deep learning inference
  • Intel® Movidius – low-power vision technology provides machine learning at the edge

AI is still in its infancy, and as this space evolves, we’ll continue to advance disruptive approaches in computing that support the complex workloads of today and tomorrow.

What do you think about the future of AI? Let us know in the comments below or on Google+, Twitter, or Facebook.

*The opinions expressed in this article are those of the guest author and not of Techaeris or its staff.

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